42dot
Machine Learning Engineer (Motion Planning)
42dot, Mountain View, California, us, 94039
We are looking for the bestAt 42dot, our team of skilled Machine Learning Engineers is dedicated to pioneering cutting-edge solutions in Motion Planning algorithms. We specialize in researching and developing advanced algorithms for predicting future paths, essential for ensuring the safety of autonomous driving systems. Leveraging extensive datasets, we conduct in-depth analysis of driving patterns to design algorithms that enable smooth and natural control of autonomous vehicles. Our commitment lies in delivering innovative technologies that pave the way for the future of autonomous driving.Responsibilities
Research and development of motion prediction algorithms for autonomous driving such as surrounding vehicles and pedestriansExploring predictive algorithms, prototyping, and validatingModeling data-driven driving algorithmsDeploying models to autonomous driving systems by optimizing and improving the performance of algorithmsWork with Perception/Planning engineers to improve self-driving performanceDevelopment of evaluation indicators and systems to evaluate developed algorithmsQualifications
Minimum of 7 years of relevant experienceA master's/doctor's degree or higher, or equivalent experience in computer science, electronics, or related fieldsDeep understanding and practical experience in learning self-driving systems and deep learning modelsDeep understanding of vehicle dynamics modelsSuperior programming skills (C/C++, Python, etc.)Mathematical reasoning ability related to probabilityPreferred Qualifications
Experience in research and development related to autonomous driving and roboticsROS1/ROS2 experienceExperience deploying predictive models in real-world environmentsInference optimization experience (TensorRT, CUDA programming, etc.)History of books/academic activities in related fields (CVPR, ICCV, ECCV, IROS, ICRA, etc.)
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Research and development of motion prediction algorithms for autonomous driving such as surrounding vehicles and pedestriansExploring predictive algorithms, prototyping, and validatingModeling data-driven driving algorithmsDeploying models to autonomous driving systems by optimizing and improving the performance of algorithmsWork with Perception/Planning engineers to improve self-driving performanceDevelopment of evaluation indicators and systems to evaluate developed algorithmsQualifications
Minimum of 7 years of relevant experienceA master's/doctor's degree or higher, or equivalent experience in computer science, electronics, or related fieldsDeep understanding and practical experience in learning self-driving systems and deep learning modelsDeep understanding of vehicle dynamics modelsSuperior programming skills (C/C++, Python, etc.)Mathematical reasoning ability related to probabilityPreferred Qualifications
Experience in research and development related to autonomous driving and roboticsROS1/ROS2 experienceExperience deploying predictive models in real-world environmentsInference optimization experience (TensorRT, CUDA programming, etc.)History of books/academic activities in related fields (CVPR, ICCV, ECCV, IROS, ICRA, etc.)
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